1. Home
  2. Database
  3. Oracle
  4. Machine Learning

Oracle Machine Learning

Use cases are end-to-end examples of implementation of machine learning techniques such as regression, classification, clustering and so on using OML products.

Oracle Machine Learning Use Cases

Regression

Build a model to predict the median value of owner-occupied homes in the Boston area using the Generalized Linear Model algorithm.

Classification

Build a model using the Random Forest algorithm to identify prospective buyers for a product.

Clustering

Build a model to segment customers based on their product purchase history. You resolve this problem by segmenting the population using the K-Means algorithm.

Time Series

Build a model to forecast the sale of your products for the next four quarters using the Exponential Smoothing algorithm.

Association Rules

Build a model using the Apriori algorithm to offer movie recommendations based on a customer's viewing history.

Feature Extraction

Apply the Non-Negative Matrix Factorization algorithm to reduce the dimensionality of a data set to produce a better feature set for subsequent modeling.